Systems and methods for capturing visible information

ABSTRACT

A transaction card construction and computer-implemented methods for a transaction card are described. The transaction card has vector-formatted visible information applied by a laser machining system. In some embodiments, systems and methods are disclosed for enabling the sourcing of visible information using a scalable vector format. The systems and methods may receive a request to add visible information to a transaction card and capture an image of the visible information. The systems and methods may capture data representing the image. The systems and methods may also determine an ambient color saturation of the image. Further, systems and methods may translate the image based on the ambient color saturation of the image. The systems and methods may also map the translated image to a bounding box and convert the mapped image into vector format. In addition, the systems and methods may provide the converted image to a laser machining system.

TECHNICAL FIELD

The disclosed embodiments generally relate to the capturing of imagesand laser rendering of images on transaction cards using a vector imageformat. The disclosed embodiments also generally relate toelectronically verifying visible information entered into apoint-of-service terminal with a scalable vector image file representingthe visible information stored for a transaction card.

BACKGROUND

Transaction cards, such as credit and debit cards, have become a primarymeans for individuals to complete transactions involving data exchange.Traditional transaction cards are constructed in a sheeted laminatepress. The shape of the card is die cut, and then, the card ispersonalized. Typically, transaction cards are cut from laminated sheetsof polyvinyl chloride (PVC), polycarbonate (PC), or other similarmaterials. After the overall shape of the card is formed, the card maybe modified to add functional and/or visible features. For example, amagnetic stripe and/or microchip may be affixed to one side, the cardmay be stamped with the card number and customer name, and color(s) or adesign may be added for appearance.

As a fraud prevention measure, such cards may be provided with asignature specimen, such that a vendor relying on the card for someaspect of a transaction, can authenticate that the person presenting thecard is the actual authorized user of the card based on a comparison ofa fresh signature provided at presentation with a signature specimenavailable on the card. Traditional signature specimens are placed on thecard by the card user when the card user initially receives the card.Such timing, however, can allow an illicit recipient to place afraudulent signature specimen on the card, for fraudulent presentmentlater. Receiving a signature specimen from a card user prior to issuanceof the card, and forming an image of the signature on the card prior todelivery to the card user, may preclude an illicit recipient from beingable to create a fraudulent signature specimen.

Traditional card manufacturing methods continue to utilize techniquesand materials that restrict variations in card style and appearance. Onelimitation of traditional transaction cards involves the quality of bothprinted and stored visible information, such as the customer'ssignature, name, or the like. For example, current techniques that placea signature specimen on a card by a card fabricator provide poor qualitybecause these techniques utilize digitized image formats (also referredto as bitmaps), raster files, or flat image files (e.g., PortableNetwork Graphics (PNG) or Joint Photographic Experts Group (JPEG)formats). Digitized image formats, raster files, and flat files form animage by using a representative matrix of black and/or white dots (orcolored dots in a color image), where each dot at a specific positionwithin the matrix is black, white, or a color, dependent on the image.Such matrices allow for image representation at high resolutions, toavoid visible “blockiness.” However, higher resolutions increase dataand processing requirements, and may be beyond the capabilities of imagefixing processes, such as matrix printing or forming processes.Furthermore, some forming methods do not utilize amatrixed-image-generation process, but rather a continuous-elementprocess, which utilizes continuous motion of a generating tool, such asan laser machining system, where the use of a bitmap or flat image wouldrequire conversion to vectored motion instructions for the imagegenerating tool. Thus, these flat image formats do not maximize theability of a laser machining system (i.e., laser machine) to etch higherresolution images. When flat image formats are used, laser machiningsystems approximate the boundaries of an image, which often leads toetching lower quality images due to problems, such as aliasing problems.This approximation leads to lower quality images with more blur, lesssmooth motions, more pixelation, less sharpness, less fidelity, etc.Furthermore, lower image quality of a signature specimen can alsodecrease fraud prevention and security protections due to the signaturespecimen having a lower comparability to an actual signature.

In addition, as transaction cards increase in prevalence, consumerexpectations for transaction card quality have increased. Transactioncards have increasingly been made to meet higher standards regardingmaterials, durability, security, and appearance. Decreased image qualitynegatively impacts the ability for transaction card manufacturers tomeet these higher standards.

The present disclosure is directed to improvements in transaction cards.Specifically, the present disclosure is directed to increasing thefidelity of visible information on transaction cards by employing avisible information engine.

SUMMARY

In the following description certain aspects and embodiments of thepresent disclosure will become evident. It should be understood that thedisclosure, in its broadest sense, could be practiced without having oneor more features of these aspects and embodiments. It should also beunderstood that these aspects and embodiments are merely exemplary.

The disclosed embodiments generally relate to a process/method andsystem for the capturing of images and laser etching of the capturedimages onto transaction cards using a vector image format. The disclosedembodiments also generally relate to electronically verifying visibleinformation entered into a point-of-service terminal with a scalablevector image file representing the visible information stored for atransaction card.

Certain disclosed embodiments provide systems and computer implementedmethods for the sourcing of visible information using a scalable vectorformat. For example, the method may include the step of receiving arequest to add a first plurality of visible information. The method mayalso include the step of capturing an image of the first plurality ofvisible information. The method may further include the step of mappingthe image of the first plurality of visible information to a boundingbox. The method may also include the step of converting the image into avector format. Even further, the method may include the step ofproviding the converted image to a laser machine, wherein providing theconverted image causes the laser machining system to modify a card toinclude the converted image.

Moreover, certain disclosed embodiments provide other systems andcomputer-implemented methods for the sourcing of visible informationusing a scalable vector format. For example, the method may include thestep of capturing data representing a first image of visibleinformation, the first image comprising a plurality of pixels, thepixels being represented in the data by color information values. Themethod may also include the step of determining a first ambient colorsaturation of the first image, the first ambient color saturation beingrepresented by a color information value. The method may further includethe step of translating the data representing the first image to datarepresenting a first translated image by translating the colorinformation values of the pixels, the pixels being translated based onwhether the color information values of the pixels exceed the colorinformation value of the first ambient color saturation. In addition,the method may include the step of storing, in a customer authenticationdatabase, the data representing the first translated image based on adetermination that the customerapproves of the visible information.

In addition, certain embodiments disclosed embodiments provide othersystems and computer-implemented methods for the sourcing of visibleinformation using a scalable vector format. For example, the method mayinclude the step of capturing data representing a first image of a firstsignature, the first image comprising a first pixel and a second pixel,the first pixel being represented in the data by a first colorinformation value, and the second pixel being represented in the data bya second color information value. The method may also include the stepof determining an ambient color saturation of the first image, theambient color saturation being represented by a third color informationvalue that is the average of the first and second color informationvalues. In addition, the method may include the step of translating thedata representing the first image to data representing a firsttranslated image by determining whether the first color informationvalue is darker than the third color information value, wherein:translating the data representing the first image to data representing afirst translated image by determining whether the first colorinformation value is darker than the third color information value,wherein: setting the color information value of the first pixel to acolor information value of a first color; and in response to determiningthat the first color information value is not darker than the thirdcolor information value: setting the color information value of thefirst pixel to a color information value of a second color. Further, themethod may include storing, in a customer authentication database, thedata representing the first translated image based on a determinationthat a customer associated with the first image approves of the visibleinformation.

Also, certain disclosed embodiments provide other systems andcomputer-implemented methods for the sourcing of visible informationusing a scalable vector format. For example, the method may include thestep of receiving a request to add first visible information to atransaction card. The method may also include the step of capturing datarepresenting a first image of the first visible information, the firstimage comprising a plurality of pixels represented by color informationvalues. In addition, the method may include the step of determining anambient color saturation of the first image, the ambient colorsaturation being represented by a color information value. The methodmay further include the step of translating the data representing thefirst image by translating the color information values of the pixels,the pixels being translated based on whether the color information valueof the pixels exceed the color information value of the first ambientcolor saturation. The method may also include the step of mapping thedata representing the translated image to a bounding box. Further, themethod may include the step of converting the data representing themapped image into a vector format. Even further, the method may includethe step of providing the data representing the converted image data toa laser machining system.

Additionally, certain disclosed embodiments provide other systems andcomputer-implemented methods for the sourcing of visible informationusing a scalable vector format. For example, the method may include thestep of capturing data representing a first image of visibleinformation, the first image comprising a first plurality of pixels, thepixels represented in the data by color information values. The methodmay also include the step of determining a background color of the firstimage by finding a first most common color among the first plurality ofpixels, the background color represented by a color information value.Further, the method may include the step of determining a first pixel inthe first plurality of pixels within a first threshold of the backgroundcolor. In addition, the method may include the step of translating thedata representing the first image to data representing a firsttranslated image by setting the color information value for the firstpixel to a first color. The method may further include the step ofdetermining a second color of the translated first image by finding asecond most common color among the first plurality of pixels. Further,the method may include the step of storing, in a customer authenticationdatabase, the data representing the first translated image based on adetermination that a customer associated with the first image approvesof the visible information.

Further, certain disclosed embodiments provide other systems andcomputer-implemented methods for the sourcing of visible informationusing a scalable vector format. For example, the method may include thestep of capturing data representing a first image of a first signature,the first image comprising a first pixel and a second pixel, the firstpixel being represented in the data by a first color information value,and the second pixel being represented in the data by a second colorinformation value. The method may further include the step ofdetermining a background color of the first image, the background colorbeing represented by a third color information value. The method mayalso include the step of determining whether a first pixel in the firstplurality of pixels is within a first threshold of the background color.Additionally, the method may include the step of in response todetermining that the first pixel is within the first threshold of thebackground color: storing the first pixel in a second plurality ofpixels; determining a second threshold by incrementing the firstthreshold with a predetermined value; and in response to determiningthat the second pixel in the first plurality of pixels is within asecond threshold, storing the second pixel in the second plurality ofpixels. Further, the method may include the step of translating the datarepresenting the first image to data representing a first translatedimage by setting the color information values for each pixel in thesecond plurality of pixels to the first color. Even further, the methodmay include the step of storing, in a customer authentication database,the data representing the first translated image based on adetermination that a customer associated with the first image approvesof the visible information.

Even further, certain disclosed embodiments provide other systems andcomputer-implemented methods for the sourcing of visible informationusing a scalable vector format. For example, the method may include thestep of receiving a request to add first visible information to atransaction card. The method may further include the step of capturingdata representing a first image of visible information, the first imagecomprising a first plurality of pixels, the pixels being represented inthe data by color information values. The method may also include thestep of determining a background color of the first image by finding afirst most common color among the first plurality of pixels, thebackground color being represented by a color information value. Inaddition, the method may include the step of determining a first pixelin the first plurality of pixels that is within a first threshold of thebackground color. The method may also include the step of translatingthe data representing the first image to data representing a firsttranslated image by setting the color information value for the firstpixel to a first color. Additionally, the method may include the step ofdetermining a second color of the translated first image by finding asecond most common color among the first plurality of pixels. The methodmay also include the step of mapping the data representing thetranslated image to a bounding box. Further, the method may include thestep of converting the data representing the mapped image into a vectorformat. Even further, the method may include the step of providing thedata representing the converted image data to a laser machining system.

Certain disclosed embodiments also provide systems andcomputer-implemented methods for electronically verifying information ona transaction card. For example, the method may include the step ofreceiving a request to provide a verification status for the transactioncard. The method may also include the step of receiving first visibleinformation, the first visible information comprising a signature of acustomer written on a point-of-sale terminal. The method may furtherinclude the step of receiving second visible information, the secondvisible information comprising a vector representation of a usersignature on a transaction card. The method may also include the step ofdetermining the verification status based on a comparison of the firstvisible information to the second visible information, which maycomprises the steps of running a similarity analysis between the firstand second visible information, calculating a score based on thesimilarity analysis, and comparing the score with a first predeterminedthreshold. Even further, the method may also include the step of sendingthe verification status.

In accordance with additional embodiments of the present disclosure, acomputer-readable medium is disclosed that stores instructions that,when executed by a processor(s), causes the processor(s) to performoperations consistent with one or more disclosed methods.

It is to be understood that both the foregoing general description andthe following detailed description are exemplary and explanatory only,and are not restrictive of the disclosed embodiments, as claimed.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute apart of this specification, illustrate disclosed embodiments and,together with the description, serve to explain the disclosedembodiments. In the drawings:

FIG. 1A is a front view of an exemplary transaction card, consistentwith disclosed embodiments;

FIG. 1B is a rear view of the exemplary transaction card of FIG. 1A,consistent with disclosed embodiments;

FIG. 1C is an edge view of the exemplary transaction card of FIG. 1A,consistent with disclosed embodiments;

FIG. 2 is a schematic diagram illustrating an exemplary systemenvironment to enable the sourcing of visible information using ascalable vector format, consistent with disclosed embodiments;

FIG. 3 is a block diagram of an exemplary visible information engine toperform functions of the disclosed methods, consistent with disclosedembodiments;

FIG. 4 is a flowchart of an exemplary process for electronicallyenabling the sourcing of visible information using a scalable vectorformat, consistent with disclosed embodiments;

FIG. 5 is a flowchart of an exemplary process for electronicallyenabling the sourcing of visible information using ambient colorsaturation and a scalable vector format, consistent with disclosedembodiments;

FIG. 6 is a flowchart of an exemplary process for translating pixels ofan image to discover visible information based on ambient colorsaturation, consistent with disclosed embodiments;

FIG. 7 is a flowchart of an exemplary process for electronicallyenabling the sourcing of visible information by determining thebackground color of an image and using a scalable vector format,consistent with disclosed embodiments;

FIG. 8 is a flowchart of an exemplary process for translating pixels ofan image to discover visible information based on the background colorof an image, consistent with disclosed embodiments;

FIG. 9 is a schematic diagram ustrating an exemplary transaction system,consistent with disclosed embodiments; and

FIG. 10 is a flowchart of an exemplary process for electronicallyverifying visible information entered into a point-of-service terminalwith a scalable vector formatted file representing the visibleinformation stored for a transaction card, consistent with disclosedembodiments.

DETAILED DESCRIPTION

Reference will now be made in detail to the disclosed embodiments,examples of which are illustrated in the accompanying drawings. Whereverconvenient, the same reference numbers will be used throughout thedrawings to refer to the same or like parts.

The term “transaction card,” as used herein, may refer to a physicalcard product that includes features to provide transaction information.As used herein, the term “visible information” may include “personalinformation,” that is, information which is associated with a customerof the card or information associated with an account of/for the cardcustomer. In some embodiments, visible information may include“transaction information,” such as financial information (e.g., cardnumbers, account numbers, expiration dates, etc.), quasi-financialinformation (e.g., rewards program identification, discount information,etc.), individual-identifying information (e.g., name, address,signature, etc.), bank information, and/or transaction networkinformation. In some embodiments, visible information may serve as asecurity element (e.g., to prevent fraud) for the transaction cards,such as signatures or signature specimens, card numbers, expirationdates, or the like. Examples of transaction cards include credit cards,debit cards, gift cards, rewards cards, frequent flyer cards,merchant-specific cards, discount cards, identification cards,membership cards, and driver's licenses, but are not limited thereto.The physical properties of the transaction card (e.g., size,flexibility, location of various components included in the card) maymeet the various international standards, including, for example,ISO/IEC 7810, ISO/IEC 7811, ISO/IEC 7812, ISO/IEC 7813, ISO/IEC 7816,ISO 8583, ISO/IEC 4909, and ISO/IEC 14443. For example, a transactioncard may have a dimension of 85.60 mm (width) by 53.98 mm (height) by0.76 mm (thickness), as specified in ISO/ICE 7810.

FIGS. 1A-1C show front-, rear-, and edge-view illustrations,respectively, of an exemplary embodiment of transaction card 100. Thefront-view illustration of FIG. 1A shows a first side 102 (e.g., a frontside) of transaction card 100, and the rear-view illustration of FIG. 1Bshows a second side 104 (e.g., a rear side) of transaction card 100opposite the first side 102. That is, first side 102 may face a firstdirection outward from a center of transaction card 100, and second side104 may face a second direction outward from the center of transactioncard 100 such that the second direction is generally opposite the firstdirection. For example, transaction card 100 may have athree-dimensional structure with a first dimension D₁ (e.g., a width), asecond dimension D₂ (e.g., a length), and a third dimension D₃ (e.g., athickness), wherein the first side 102 and second side 104 of card 100are separated by at least one of D₁, D₂, and D₃. As shown in FIG. 1C,first and second sides 102 and 104 of transaction card 100 are separatedby D₃ (e.g., a thickness of card 20). It is noted that transaction card100 is not limited to rectangular shapes and designs, and thatdimensions D₁, D₂, and D₃ may vary with respect to one another such thattransaction card 100 may resemble a different shape.

As shown in FIG. 1A, first side 102 of transaction card 100 may includevisible information 110. Visible information 110 may include, forexample, personal information, such as information that is associatedwith a card, a customer of the card, or information relating to anaccount associated with the card or card customer. In some embodiments,visible information 110 may include visible information as defined aboveand/or other information. As will be explained below, visibleinformation 110 may be disposed on a surface of transaction card 100 toenable information to be visible from first side 102 of transaction card100. In other embodiments, visible information 110 may also oralternatively be disposed on a surface of transaction card 100 to enableinformation to be visible from another side of transaction card 100,such as second side 104.

A first data storage component 112 may also be visible, exposed, orotherwise accessible (e.g., visibly, mechanically, or electronically)from first side 102 of transaction card 100. For example, data storagecomponent 112 (e.g., an EMV chip) may be accessible through an aperture114 (shown in FIG. 1A), recess, or other type of opening on first side102 of transaction card 100. In some embodiments, data storage component112 and aperture 114 may be located on a different side of transactioncard 100, such as second side 104. In other embodiments, first side 102of transaction card 100 may not include data storage component 112 oraperture 114. As used herein, a “data storage component” may be one ormore devices and/or elements configured to receive, store, process,provide, transfer, send, delete, and/or generate information. Forexample, data storage component 112 may be a microchip (e.g., a Europay,MasterCard, and Visa (EMV) chip), a communication device (e.g., NearField Communication (NFC) antenna, Bluetooth® device, WiFi device), amagnetic stripe, a barcode, Quick Response (QR) code, etc. Data storagecomponent 112 may be secured, affixed, attached, or the like, toaperture 114 in such a way that allows aperture 144 to carry datastorage component 112 while maintaining a utility of data storagecomponent 112 (i.e., allowing data storage component 112 to interactwith a point-of-sales (POS) terminal). Data storage component 112 may beconfigured to ensure that data storage component 112 functions properlyduring data storage and transmission, for example, ensuring that a cardcontaining a RFID (radio frequency identification) device shielded by amaterial layer can still be properly read by a RFID reader through thematerial layer.

As shown in FIG. 1B, visible information 120 may be disposed on and/orvisible from second side 104 of transaction card 100. Visibleinformation 120 may include the same or different information withrespect to visible information 110 (referring to FIG. 1A). For example,visible information 120 may include visible information as describedabove as well as contact information, a serial number, a hologram,manufacturer information, and/or other information.

A second data storage component 122 (e.g., a magnetic stripe) may bevisible from, disposed on, or otherwise accessible (e.g., visibly,mechanically, or electronically) from second side 104 of transactioncard 100. Although data storage component 122 is shown in FIG. 1B asextending along dimension D₂ (e.g., a length of transaction card 100),it is understood that data storage component 122 may extend along adifferent dimension (e.g., Di) or multiple dimensions. In someembodiments, second side 104 of transaction card 100 may not includedata storage component 122. In other embodiments, data storage component122 may be included on first side 102 of transaction card 100.

FIG. 2 is a schematic diagram illustrating an exemplary systemenvironment to enable the sourcing of visible information using ascalable vector format, consistent with disclosed embodiments. FIG. 2shows a diagram of an exemplary system 200, consistent with disclosedembodiments, revealing some technical aspects of the present disclosurefor achieving the intended results of the present disclosure. Referringto FIG. 2, system 200 may include customerterminal(s) 202, a visibleinformation engine 204, a network 206, an intermediary service(s) 208, adatabase(s) 210, a server cluster(s) 212, a cloud server(s) 214, a lasermachining system 216, and transaction card 100. The components andarrangement of the components included in system 200 may vary. Thus,system 200 may further include other components or devices that performor assist in the performance of one or more processes consistent withthe disclosed embodiments. The components and arrangements shown in FIG.2 are not intended to limit the disclosed embodiments, as the componentsused to implement the disclosed processes and features may vary.

As shown in FIG. 2, a plurality of customer terminals 202 may beimplemented using a variety of different equipment, such assupercomputers, personal computers, servers, mainframes, mobile devices,smartphones, tablets, etc. In some embodiments, customer terminals 202may be associated with a financial service provider. In someembodiments, customer terminals 202 may belong to a customer. Customerterminals 202, in some embodiments, may be a machine or kiosk such as anautomated teller machine (ATM), etc. In some embodiments, customerterminals 202 may be configured to receive input from a customer, suchas input (e.g., visible information) regarding a transaction card.

Visible information engine 204 may be implemented using differentequipment, such as one or more supercomputers, one or more personalcomputers, one or more servers (e.g., server clusters 212 and/or cloudservice 214), one or more mainframes, one or more mobile devices, or thelike. In some embodiments, visible information engine 204 may comprisehardware, software, and/or firmware modules. Visible information engine204 may be configured to enable the sourcing of visible informationusing a scalable vector format. For example, visible information engine204 may source visible images by providing instructions that will allowa customer of a financial service provider to capture, map, resize,convert, and/or save an image. Visible information engine 204 may alsobe configured to verify visible information entered into apoint-of-service terminal with a scalable vector formatted filerepresenting the visible information stored for a transaction card.

Visible information engine 204, in some embodiments, may be storedlocally on customer terminals 202. In some embodiments, visibleinformation engine 204 may be stored remotely from customer terminals202. In some embodiments, visible information engine 204 may be storedon the one or more servers of the financial service provider (e.g., abank, credit union, credit card issuer, or other type of financialservice entity). In some embodiments, an employee representing afinancial service provider may input a plurality of visible information(e.g., a customer's signature). Furthermore, in some embodiments, anemployee representing the financial service provider may assist ininputting a plurality of visible information. In some embodiments,customer terminals 202 and/or visible information engine 204 may requirea customer to satisfy one or more security measures. For example, acustomer may be required to input or speak a password, social securitynumber, an account number, or the like. As another example, a customermay be required to enter biometric data such as a fingerprint or an eyescan. A customer may also be required to enter or select a pattern ofimages, spoken words, text, or the like. Even further, as an example, acustomer may be required to answer security questions or completevarious anti-hacking or cracking security measures such reCAPTCHA. Insome embodiments, after satisfying one or more security measures,visible information engine 204 may associate the customer with afinancial account and accept the financial transactions for thatfinancial account.

In some embodiments, visible information engine 204 may engage a cameraof customer terminals 202 to take a picture of visible information(e.g., a customer's signature) provided by the customer. As anotherexample, visible information engine 204 may cause customer terminals 202to execute a web browser that may allow a customer to input (i.e.,upload) a stored picture or file comprising visible information. In someembodiments, visible information engine 204 may cause customer terminals202 to send the inputted picture of visible information to visibleinformation engine 204 for processing.

Network 206, in some embodiments, may comprise one or moreinterconnected wired or wireless data networks that receive data fromone service or device (e.g., visible information engine 204) and send itto another service or device (e.g., intermediary services 208, databases210, server clusters 212, cloud service 214). For example, network 206may be implemented as one or more of the Internet, a wired Wide AreaNetwork (WAN), a wired Local Area Network (LAN), a wireless LAN (e.g.,IEEE 802.11, Bluetooth, etc.), a wireless WAN (e.g., WiMAX), and thelike. Each component in system 200 may communicate bidirectionally withother system 200 components either through computer network 206 orthrough one or more direct communication links, (not all are shown).

Intermediary services 208 may be implemented using different equipment,such as one or more supercomputers, one or more personal computers, oneor more servers (e.g., server clusters 212 and/or cloud service 214),one or more mainframes, one or more mobile devices, or the like. In someembodiments, intermediary services 208 may comprise hardware, software,and/or firmware modules.

In some embodiments, intermediary service 208 may contain instructionsto properly associate inputted data including visible informationreceived from visible information engine 204 with previously storedvisible information associated with a customer. In some embodiments,intermediary service 208 may store the associated input data includingvisible information into the database. In other embodiments,intermediary service 208 may send this inputted data including visibleinformation to laser machining system 216 for processing. Intermediaryservice 208, in some embodiments, may update customers associated with afinancial account regarding the updated visible information. Forexample, the plurality of intermediary services 208 could send customersan update using electronic messaging, such as text, email, or the like.In some embodiments, intermediary services 208 could cause a physicalmailing to be mailed to the customers. In some embodiments, intermediaryservices 208 could cause customer terminals 202 and/or visibleinformation engines 204 to update the customers. For example,intermediary services 208 could cause terminal 202 and/or visibleinformation engine 204 to display the updated information to thecustomers or send customers an update using electronic messaging, suchas text, email, or the like. Intermediary services 208 may also containinstruction to handle visible information associated with a customer.

Databases 210 may be configured to store information consistent with thedisclosed embodiments. In some aspects, components of system 200 (shownand not shown) may be configured to receive, obtain, gather, collect,generate, or produce information to store in databases 210. In certainembodiments, for instance, components of system 200 may receive orobtain information for storage over communications network 206. By wayof example, databases 210 may store information associated with aplurality of customers. The information may include personalinformation, transaction information, transaction network information,contact information, inputted data into visible information engine 204,and/or other information. In another example, databases 210 may storeresponses produced by and requests to visible information engine 204. Inother aspects, components of system 200 may store information indatabases 210 without using a computer network 206 (e.g., via a directconnection). In some embodiments, components of system 200, includingbut not limited to visible information engine 204, may use informationstored in databases 210 for processes consistent with the disclosedembodiments.

Server clusters 212 may be located in the same data center or differentphysical locations. Multiple server clusters 212 may be formed as a gridto share resources and workloads. Each server cluster 212 may include aplurality of linked nodes operating collaboratively to run variousapplications, software modules, analytical modules, rule engines, etc.Each node may be implemented using a variety of different equipment,such as a supercomputer, personal computer, a server, a mainframe, amobile device, or the like. In some embodiments, the number of serversand/or server clusters 212 may be expanded or reduced based on workload.In some embodiments, one or more components of visible informationengine 204 (including one or more server clusters 212) may be placedbehind a load balancer to support high availability and ensure real-time(or near real-time) processing of optimal decision predictions,consistent with disclosed embodiments.

Cloud service 214 may include a physical and/or virtual storage systemassociated with cloud storage for storing data and providing access todata via a public network such as the Internet. Cloud service 214 mayinclude cloud services such as those offered by, for example, Amazon®,Apple®, Cisco®, Citrix®, IBM®, Joyent®, Google®, Microsoft®, Backspace®,Salesforce.com®, and Verizon®/Terremark®, or other types of cloudservices accessible via network 206. In some embodiments, cloud service214 comprises multiple computer systems spanning multiple locations andhaving multiple databases or multiple geographic locations associatedwith a single or multiple cloud storage services. As used herein, cloudservice 214 refers to physical and virtual infrastructure associatedwith a single cloud storage service. In some embodiments, cloud service214 manages and/or stores data associated with the disclosedembodiments.

Laser machining system 216 may include a physical and/or virtual storagesystem associated with storage for storing data and providing access todata via a public network such as the Internet. Laser machining system216 may also be configured to generate (e.g., using a laser to effect aproperty change on something because of chemical or molecularalteration, burning, foaming, melting, charring, ablation, etching,printing, or the like) high-quality images processed by visibleinformation engine 204 onto transaction card 100 using vector formattedfile types. In some embodiments, configuring laser machining system 216involves providing a firmware update. For example, in some embodiments,a remote server may cause this firmware to update remotely. In otherembodiments, a person may cause this firmware to update manually and/orlocally. Vector formatted file types that may be compatible with lasermachining system 216 may include Scalable Vector Graphics (SVG),Encapsulated PostScript (EPS), drawing (DWG), or the like. In someembodiments, these vector formatted file may be compatible with acontroller of laser machining system 216. In other embodiments, thevector formatted file may be compatible with a third-party application(e.g., a CAM software application). Laser machining system 216 also maybe configured to create property changes resulting in visibleinformation (e.g., a customer's signature) being form on transactioncard 100, which can be made from various materials, such as metal, wood,fabric, plastic, copper, or the like. In some embodiments, lasermachining system 216 may receive drive signals that instruct a carriageto move the layer and the laser to intensify output. In someembodiments, laser machining system 216 may use a continuous laser beam.In some embodiments, laser machining system 216 may use a pulsatinglaser beam.

FIG. 3 is a diagram of an exemplary visible information engineconfigured to perform functions of the disclosed methods, consistentwith disclosed embodiments. As shown, visible information engine 204 mayinclude one or more processor 360, input/output (“I/O”) devices 370, andmemory 380 storing data and programs 382 (including, for example,operating system 388). As noted above, visible information engine 204may be a single server or may be configured as a distributed computersystem including multiple servers or computers (e.g., server clusters212 and/or cloud service 214) that interoperate to perform one or moreof the processes and functionalities associated with the disclosedembodiments. In some embodiments, visible information engine 204 isspecially configured with hardware and/or software modules forperforming functions of disclosed methods. For example, visibleinformation engine 204 may include programs 382 (including operatingsystem 388) and/or visible information module(s) 392. The modules can beimplemented as specialized circuitry integrated within processor 360 orin communication with processor 360, and/or specialized software storedin memory 380 (as depicted in FIG. 3) executable by processor 360.

Processor 360 may be one or more known or custom processing devicesdesigned to perform functions of the disclosed methods, such as a singlecore or multiple core processors capable of executing parallel processessimultaneously. For example, processor 360 may be configured withvirtual processing technologies. In certain embodiments, processor 360may use logical processors to execute and control multiple processessimultaneously. Processor 360 may implement virtual machinetechnologies, including a Java® Virtual Machine, or other knowntechnologies to provide the ability to execute, control, run,manipulate, store, etc., multiple software processes, applications,programs, etc. In another embodiment, processor 360 may include amultiple-core processor arrangement (e.g., dual core, quad core, etc.)configured to provide parallel processing functionalities to allowvisible information engine 204 to execute multiple processessimultaneously. One of ordinary skill in the art would understand thatother types of processor arrangements could be implemented that providefor the capabilities disclosed herein.

Visible information engine 204 may also include one or more I/O devices370 that may comprise one or more interfaces for receiving signals orinput from devices and providing signals or output to one or moredevices that allow data to be received and/or transmitted by visibleinformation engine 204. Visible information engine 204 may also includeinterface components that display information and/or provide interfacesto one or more input devices, such as one or more keyboards, mousedevices, and the like, that enable in visible information engine 204 toreceive input from a customer or administrator (not shown).

Visible information engine 204 may include memory configured to storeinformation used by processor 360 (or other components) to performcertain functions related to the disclosed embodiments. In one example,visible information engine 204 may include memory 380, comprising one ormore storage devices, that store instructions to enable processor 360 toexecute one or more applications, such as server applications, networkcommunication processes, and any other type of application or softwareknown to be available on computer systems. Alternatively oradditionally, the instructions, application programs, etc., may bestored in an internal database or external storage (not shown) in directcommunication with visible information engine 204, such as one or moredatabase or memory accessible over network 206. The internal databaseand external storage may be a volatile or non-volatile, magnetic,semiconductor, tape, optical, removable, non-removable, or other type ofstorage device or tangible (i.e., non-transitory) computer-readablemedium.

Visible information engine 204 may also be communicatively connected toone or more remote memory devices (e.g., remote databases (not shown))through network 206 or a different network. The remote memory devicesmay be configured to store information (e.g., structured,semi-structured, and/or unstructured data) and may be accessed and/ormanaged by visible information engine 204. By way of example, the remotememory devices may be document management systems, Microsoft® SQLdatabase, SharePoint® databases, Oracle® databases, Sybase™ databases,or other relational databases. Systems and methods consistent withdisclosed embodiments, however, are not limited to separate databases oreven to the use of a database.

In one embodiment, visible information engine 204 may include memory 380that includes instructions that, when executed by processor 360, performone or more processes consistent with the functionalities disclosedherein. Methods, systems, and articles of manufacture consistent withdisclosed embodiments are not limited to separate programs or computersconfigured to perform dedicated tasks. For example, visible informationengine 204 may include memory 380 that stores instructions constitutingone or more programs 382 and/or visible information modules 392 toperform one or more functions of the disclosed embodiments. Moreover,processor 360 may execute one or more programs located remotely fromsystem 200. For example, visible information engine 204 may access oneor more remote programs, that, when executed, perform functions relatedto disclosed embodiments.

Memory 380 may include one or more memory devices that store data andinstructions used to perform one or more features of the disclosedembodiments. For example, memory 380 may represent a tangible andnon-transitory computer-readable medium having stored therein computerprograms, sets of instructions, code, or data to be executed byprocessor 360. Memory 380 may include, for example, a removable memorychip (e.g., EPROM, RAM, ROM, DRAM, EEPROM, flash memory devices, orother volatile or non-volatile memory devices) or other removablestorage units that allow instructions and data to be accessed byprocessor 360.

Memory 380 may also include any combination of one or more relationaland/or non-relational databases controlled by memory controller devices(e.g., server(s), etc.) or software, such as document managementsystems, Microsoft® SQL database, SharePoint® databases, Oracle®databases, Sybase™ databases, other relational databases, ornon-relational databases such as key-value stores or NoSQL™ databasessuch as Apache HBase™. In some embodiments, memory 380 may comprise anassociative array architecture, such as a key-value storage, for storingand rapidly retrieving large amounts of information.

Programs 382 stored in memory 380 and executed by processor(s) 360 mayinclude one or ore operating system 388. Programs 382 may also includeone or more machine learning, trending, and/or pattern recognitionapplications (not shown) that cause processor(s) 360 to execute one ormore processes related to identifying, scoring, and/or ranking oftransaction structures. For example, the one or more machine learning,trending, and/or pattern recognition applications may provide, modify,or suggest input variables associated with one or more other programs382.

FIG. 4 is a flowchart of an exemplary process for electronicallyenabling the sourcing of visible information using a scalable vectorformat, consistent with disclosed embodiments. At step 402, consistentwith disclosed embodiments, visible information modules 392 may receivea request to add visible information (e.g., a customer's signature) to acard. For example, in some embodiments, visible information modules 392may receive this request because a customer of a financial serviceprovider would like to order a new transaction card 100 or update anexisting transaction card 100. A customer of a financial serviceprovider may be an actual customer or a perspective customer of thefinancial service provider. As another example, in other embodiments,visible information modules 392 may receive this request from thecustomer or financial service provider for other reasons.

In some embodiments, step 402 may comprise receiving a request to addvisible information after a customer or a financial service provider hasinitiated the process to issue a new card or update a preexisting card.In some embodiments, a financial service provider may send the customera link (e.g., a hyperlink, QR code, telephone number, or the like) forthe issuance of a new card or to update a preexisting card. A customermay send the link via the financial service provider as a recommendationto another customer. In other embodiments, an online advertisement forthe financial service provider may include the link or the financialservice provider may send the link to a customer. In other embodiments,the financial service provider could send the link to a customer in aphysical mailing. In some embodiments, visible information modules 392may receive a request to add visible information after a customer hasfilled out forms containing other visible information, such as personalinformation, transaction information, transaction network information,contact information, a serial number, a hologram, manufacturerinformation, and/or other information. Additionally, in someembodiments, visible information modules 392 may use intermediaryservices 208 to determine whether a customer is approved based on thecustomer credit information, preexisting account information with thefinancial service provider, internal parameters set by the financialservice provider, the risk of fraud, or the like. This approval may be anew transaction card before receiving a request to add visibleinformation (e.g., a customer's signature) to order a new transactioncard 100 or update an existing transaction card 100. In someembodiments, visible information modules 392 may receive a request toadd visible information after a customer has been presented with aprompt to add visible information by visible information modules 392.

Consistent with disclosed embodiments, at step 404, visible informationmodules 392 may capture an image of visible information (e.g., acustomer's signature). In some embodiments, to capture an image mayinvolve capturing a representation of an image (e.g., apressure-sensitive imprint.) In some embodiments, capturing an image ofvisible information includes causing customer terminals 202 to enable aninput/output device, such as a camera or the like, to allow the customerto take a picture of the visible information. In some embodiments,visible information modules 392 may obtain verification from thecustomer before causing the camera of customer terminals 202 to beenabled. Obtaining verification may involve providing instructions tocause customer terminals 202 to display a prompt that allows a customerto choose between option(s) that indicate whether the customer intendsto allow visible information modules 392 to cause customer terminals 202to enable a camera of customer terminals 202. In other embodiments,visible information modules 392 may provide instructions to causecustomer terminals 202 to enable one or more of its cameras withoutverification. After a customer activates the one or more cameras andtakes a picture, visible information modules 392 may receive an imagefile representative of the picture. In other embodiments, capturingvisible information may include providing instructions to cause customerterminals 202 to display a prompt that allows a customer to upload apreexisting image stored in hardware on customer terminals 202.

Consistent with disclosed embodiments, at step 406, visible informationmodules 392 may allow a customer to map and resize an image of visibleinformation (e.g., a customer's signature). In some embodiments, visibleinformation modules 392 may provide instructions to cause customerterminals 202 to display a bounding box. A bounding box, in someembodiments, comprises an enclosed area that designed for contents tofit inside of it. In some embodiments, a bounding box has a border thatis visually distinct from the area inside of the border. A bounding boxmay be any shape, size, or color. The bounding box may be configured tobe any size and in any position on transaction card 100. For example,the bounding box may be displayed on customer terminals 202 over orunderneath the first side 102 or the second side 104 of transaction card100. As another example, in some embodiments, the size of the boundingbox may be dependent on the size of transaction card 100. As a furtherexample, in some embodiments, the position, size, shape, and othercharacteristics of the bounding box could vary based on the type,material, size, color, etc., of transaction card 100.

Additionally, the bounding box may be used as a guide by the customer toresize the received captured image manually. For example, visibleinformation modules 392 may provide instructions to cause customerterminals 202 to display a bounding box and an unaltered captured image.Visible information modules 392 may provide instructions to causecustomer terminals 202 to allow a customer to drag and resize the imageso that a customer could cause the image to fit inside of the boundingbox. In other embodiments, visible information modules 392 may provideinstructions to cause customer terminals 202 to display a bounding boxbefore the image is captured. For example, the bounding box may betransparent except for the border of the bounding box, so that acustomer could line-up visible information (e.g., a customer'ssignature) to be within the bounding box before the image is captured bya camera of customer terminals 202.

In some embodiments, visible information modules 392 may provideinstructions to cause customer terminals 202 to indicate that thevisible information is inside of the bounding box. For example, visibleinformation modules 392 may provide instructions to cause customerterminals 202 to change the color of the bounding box's border to redwhen part of the visible information (e.g., a customer's signature) isoutside of the bounding box and green when the visible information iscompletely inside of the bounding box. In some embodiments, when thevisible information is completely inside the bounding box, visibleinformation modules 392 may cause customer terminals 202 to display anotification indicating that the resize was a success and automaticallymove on to the next steps.

In some embodiments, a customer can cause customer terminals 202 to senda notification to visible information modules 392 that the customer isdone with mapping and resizing the image in the bounding box. Forexample, the customer may send a notification that the customer is doneby tapping the screen, selecting a button, speaking, gesturing, or thelike. In other embodiments, visible information modules 392 may map andresize the image to fit inside of the bounding box automatically byusing mathematical formulas/algorithms, such as interpolation, sampling,or transformations, to fit the image inside of the bounding box. In someof the embodiments, visible information modules 392 may cause customerterminals 202 to display this automatically mapped and resized image inthe bounding box.

At step 408, consistent with disclosed embodiments, visible informationmodules 392 may convert the resized image into vector formats, such asSVG, EPS, DWG, or the like. In some embodiments, visible informationmodel 392 may convert the resized image from a flat image format (e.g.,PNG) to vector form. For example, visible information model 392 may usean outside process, known as an image tracer, vectorization program, orthe like, that takes the resized image saved in a flat image format andconverts it to a vector image. In other embodiments, visible informationmodel 392 may convert the resized image saved in a flat image format toa vector image on its own using various mathematical formulas anddigital processing techniques. In other embodiments, step 408 may not beneeded when customer terminals 202 may have saved the image as a vectorformat on image capture (e.g., during one of steps 404 and 406).

At step 410, consistent with disclosed embodiments, visible informationmodules 392 may save an image of the visible information. In someembodiments, visible information modules 392 may save a converted imageof the visible information to database 210. Saving the converted imageto the database may comprise associating the saved image of visibleinformation with other visible information, such as transactioninformation, personal information, or the like. In some embodiments,visible information modules 392 may communicate with intermediaryservices 208 to associate and save the image of visible information to adatabase. In some embodiments, visible information modules 392 maycommunicate with intermediary services 208 to save the image of visibleinformation on transaction card 100 during the manufacturing process.For example, once a transaction card has been created by laser machiningsystem 216, visible information modules 392 may cause intermediaryservices 208 to save the image of visible information on data storagecomponent 112 and/or data storage component 122 of transaction card 100.In some embodiments, visible information modules 392 may causeintermediary services 208 to save the image of visible information onserver clusters 212 and/or cloud service 214. In some embodiments,visible information modules 392 may save the image of visibleinformation on transaction card 100, server clusters 212, and/or cloudservice 214.

At step 412, consistent with disclosed embodiments, visible informationmodules 392 may provide the image of visible information (e.g., acustomer's signature) to laser machining system 216. In someembodiments, providing the image of visible information to lasermachining system 216 may include causing laser machining system 216 tolaser onto transaction card 100 the image of visible information. Insome embodiments, laser machining system 216 will create visibleinformation 110 or 120 by laser positioning and intensity commands basedon the components of the vector formatted image of visible information.In some embodiments, visible information modules 392 may receive aresponse from laser machining system 216 indicating that the image ofvisible information is of an incompatible file type. In response toreceiving an error for incompatible file type, in some embodiments,visible information modules 392 may convert and resave the image ofvisible information into a compatible vector file type.

FIG. 5 is a flowchart of an exemplary process for electronicallyenabling the sourcing of visible information using ambient colorsaturation and a scalable vector format, consistent with disclosedembodiments. At step 502, consistent with disclosed embodiments, visibleinformation modules 392 may receive a request to add visible information(e.g., a customer's signature) to a card. For example, visibleinformation modules 392 may perform techniques at step 502 that aresimilar to the techniques described above in reference to step 402. Itshould be understood that the process described by FIG. 5 is optimizedfor sourcing visible information in an image that has been taken using aweb camera on terminal 202. However, the process described by FIG. 5 mayalso source visible information in an image taken using other types ofimaging systems.

By performing similar techniques to those described above in referenceto step 404, at step 504 visible information modules 392 may capture animage of visible information. In some embodiments, it should beunderstood that visible information modules 392 may receive datarepresenting the image to capture an image of visible information. Thedata representing the image may define by image information for pixelsin the image. In some embodiments, the pixel image information mayinclude, for example, color information, position information,historical color information, historical position information, or anyother form of information that would define the attributes of a pixel.Color information (or color information value(s)) may include, forexample, a red-green-blue (RGB) value, a cyan-magenta-yellow-black(CMYK) value, a hue-saturation-lightness (HSL) value, ahue-saturation-value (HSV) value, a HEX value, a pantone matching system(PMS) value, and/or any other system that would define the appearance ofa pixel. Position information (or position information value(s)) mayinclude, for example, dimension values, such as a row-column value, an Xvalue, a Y value, a Z value, an index number, or any other form ofinformation that would define the position of a pixel.

Visible information modules 392 may determine the ambient colorsaturation of an image, at step 506. In some embodiments, the ambientcolor saturation may be represented by color information, as describedabove. The ambient color saturation, in some embodiments, may also berepresented by position information that defines the region of the imagewhere the ambient color saturation is the least and/or the mostprevalent. This position information may further include dimensionvalues, as described above.

In certain embodiments, visible information modules 392 may determinethe ambient color saturation by finding the average color informationfor all of pixels in an image. For example, assuming that the colorinformation for each pixel is represented by an RGB value and using theequation above, visible information modules 392 may divide the sum ofall (or only a certain percentage or number) of the RGB values in theimage by the total of all (or only a percentage or number) of pixels inthe image.

At step 508, visible information modules 392 may translate pixels in animage based on ambient color saturation. In other words, visibleinformation modules 392 may translate data representing an image to datarepresenting a translated image by translating color information forpixels in the image. In some embodiments, visible information modules392 may translate a pixel based on whether the pixel's color informationexceeds or does not exceed the color information of the ambient colorsaturation.

Turning to FIG. 6, an exemplary process, consistent with disclosedembodiments, for translating pixels of an image to discover visibleinformation based on ambient color saturation is shown. In someembodiments, visible information modules 392 may survey all of thepixels in an image and determine the ambient color saturation for eachpixel. In other embodiments, visible information modules 392 may surveyonly a percentage or number of the pixels in the image to determine theambient color saturation. Accordingly, visible information modules 392may translate all (or only a percentage or number) of the pixels in theimage before completing process 508. It should also be understood thatthe steps of FIG. 6 could be shown or processed in a number of ways andthe order of the steps and/or the steps as described above should not beconstrued as limiting.

At step 602, consistent with disclosed embodiments, visible informationmodules 392 may choose a pixel in the image that has not beentranslated. After choosing a pixel, visible information modules 392 maydetermine whether the color information of the pixel is darker than theambient color saturation (step 604). In some embodiments, at step 604,visible information modules 392 may, instead, determine whether thecolor information of the pixel is lighter than the ambient colorsaturation (not shown).

In certain embodiments, visible information modules 392 may determinethat the color saturation of the pixel is darker than the colorsaturation of the ambient color saturation by determining that a valueof color information of the pixel is higher or lower than a value of thecolor saturation for the ambient color. For example, when colorinformation is represented by an RGB value, visible information modules392 may determine that the color information of the pixel is darker thanthe color information of the ambient color saturation if the total RGBvalue (the red value+ the green value+ the blue value) of the pixel islower than the total RGB value of the ambient color saturation.Accordingly, visible information modules 392 may determine that thecolor information of the pixel is lighter than the color information ofthe ambient color saturation if the total RGB value of the pixel ishigher than the total RGB value of the ambient color saturation. In someembodiments, visible information modules 392 may only use a single valueof the color information of the pixel (e.g., the red value using RGB asthe color information) and corresponding value of the color informationof the ambient color saturation to determine if the color saturation ofthe pixel is darker than the color saturation of the ambient colorsaturation.

At step 606, if visible information modules 392 determine that the colorsaturation of the pixel is darker than the color saturation of theambient color saturation, visible information modules 392 may translatethe pixel to a first color (e.g., white or any other color). However, ifvisible information modules 392 determine that the color saturation ofthe pixel is not darker than the color saturation of the ambient colorsaturation, visible information modules 392 may translate the pixel to asecond color (step 608). Visible information modules 392 may translatethe pixel by modifying the pixel's color information value to the valueassociated with the first or second color. In some embodiments, thefirst color is different from the second color. In certain embodiments,the first color is black and the second color is white. At step 610,visible information modules 392 may determine whether all the pixels inthe image have been translated. If not, visible information modules 392may repeat steps 602-610 until all (or a certain percentage or number)of the pixels in the image are translated.

Turning back to FIG. 5, at step 510, visible information modules 392 maymap and resize the image with the translated pixels (i.e., map datarepresenting the translated image), using similar techniques asdescribed above in relation to step 406. At step 512, visibleinformation modules 392 may convert the image into vector format (i.e.,convert data representing the mapped image into a vector format) usingsimilar techniques as described above in relation to step 408. Inaddition, at step 514, visible information modules 392 may causeterminal 202 to display the converted image to a customer.

Consistent with disclosed embodiments, at step 516, visible informationmodules 392 may acquire approval information from the customer. In someembodiments, visible information modules 392 may acquire approvalinformation from the customer by the customer interacting or notinteracting with terminal 202. In some embodiments, information modules392 may acquire approval information from the customer by determiningthat the customer has not interacted with terminal 202 or part ofterminal 202 for a predetermined period of time. In some embodiments,visible information modules 392 may acquire approval information fromthe customer based on an algorithm that compares the converted image ofvisible information with a saved image of visible information thatvisible information 392 may access. An interaction, in some embodiments,may be any kind of gesture, touch, noise, etc. that is may be used tosend commands to terminal 202.

At step 518, consistent with disclosed embodiments, visible informationmodules 392 may determine if the customer approves of the convertedimage. Visible information modules 392 may determine that the customerapproves or disapproves of the converted image based on the approvalinformation. In certain embodiments, visible information modules 392 mayread a data structure that includes the approval information or use theapproval information in an algorithm (e.g., a machine learningalgorithm) to determine whether the customer approves of the convertedimage. In some embodiments, visible information modules 392 maydetermine that the customer approves of the converted image if thecustomer has interacted or not interacted with terminal 202 or part ofterminal 202 for a predetermined period of time.

If visible information modules 392 determine that the customer approvesof the converted image, visible information modules 392 may repeat steps504-518 to source visible information of a new image. In certainembodiments, visible information modules 392 may save the convertedimage with an associated data flag that the user did not approve (notshown). However, if visible information modules 392 determine that thecustomer approves of the converted image, visible information modules392 may, at step 520, save the converted image using similar techniquesas described above in relation to step 410. Additionally, in someembodiments, visible information modules 392 may save the convertedimage by storing the image (or data representing the stored image) in acustomer authentication database (e.g., one or more of database(s) 210)based on the determination that a customer associated with the firstimage approves of the visible information. In some embodiments, visibleinformation modules 392 may then provide the saved image to a lasermachining system (not shown) as described in step 412 above.

FIG. 7 is a flowchart of an exemplary process for electronicallyenabling the sourcing of visible information by determining thebackground color of an image and using a scalable vector format,consistent with disclosed embodiments. It should be understood that theprocess described by FIG. 7 is optimized for sourcing visibleinformation in an image that has been taken using a web camera onterminal 202. However, the process described by FIG. 7 may also sourcevisible information in an image taken using other types of imagingsystems.

At step 702, consistent with disclosed embodiments, visible informationmodules 392 may receive a request to add visible information (e.g., acustomer's signature) to a card. For example, visible informationmodules 392 may perform techniques at step 702 that are similar to thetechniques described above in reference to step 502. Likewise, at step704, visible information modules 392 may capture an image of visibleinformation by performing techniques that are similar to techniquesdescribed above in reference to step 504.

At step 706, consistent with disclosed embodiments, visible informationmodules 392 may determine the background color of the image. In someembodiments, the background color may represented by color information,as described above. The background color, in some embodiments, may alsobe represented by position information that defines the region of theimage where the background color is the least and/or the most prevalent.This position information may further include dimension values, asdescribed above. In certain embodiments, visible information modules 392may determine the background color of the image by finding the mostprevalent or common color of in image pixels. For example, assuming, forexample, that the color information for each pixel is represented by anRGB value, visible information module 392 may determine the backgroundcolor by determining the highest number of pixels that share a commonRGB value, where the common RGB value would serve as the determinedbackground color. Visible information module 392 may use all or lessthan all of the image pixels (i.e. a percentage or number of the pixels)to determine the background color of the image.

At step 708, consistent with disclosed embodiments, visible informationmodules 392 may translate pixels in the image based on the determinedbackground color. In other words, visible information modules 392 maytranslate the data representing the image to data representing atranslated image by translating color information for pixels in theimage. In some embodiments, a pixel may be translated based on whetherthe pixel's color information is within a threshold of the backgroundcolor.

Turning to FIG. 8, a flowchart, consistent with disclosed embodiments,of an exemplary process for translating pixels of an image to discovervisible information based on a background color of an image is shown. Insome embodiments, visible information modules 392 may loop through allor less than all of the pixels in an image multiple times. It shouldalso be understood that the steps of FIG. 8 could be shown or processedin a number of ways and the order of the steps and/or the steps asdescribed above should not be construed as limiting.

At step 802, visible information modules 392 may determine whether thereis at least one pixel in the image with color information that is withina threshold of the background color's (determined at step 706) colorinformation. A threshold may be a percentage or number that defines howclose in color an acceptable pixel may be to a background color. Visibleinformation modules 392 may use the threshold to determine colors thatare close to background color and account for variations in light in thecaptured image.

Visible information modules 392 may determine whether at least one pixelin the image exists with color information that is within a threshold ofthe background color's image by, for example, determining if the totalcolor information value (e.g., RGB value) of a pixel is within athreshold of the total color information value of background color. Insome embodiments, visible information modules 392 may only determinewhether a single value of the color information of the pixel is within athreshold of a single value of the color information of the backgroundcolor to determine whether at least one pixel in the image exists withcolor information that is within a threshold of the background color'simage

At step 804, consistent with disclosed embodiments, visible informationmodules 392 may acquire all pixels and/or data representing all pixels(including color and position information) that are within the thresholdof the background color. In some embodiments, visible informationmodules 392 may save the pixels and/or data representing the pixelswithin a data structure until the steps of FIG. 8 are finished.Consistent with disclosed embodiments, at step 806, visible informationmodules 392 may increase the threshold by a predetermined value andrepeat steps 802-806 until visible information modules 392 determinethat there are no pixels or less than a certain percentage or number ofpixels within the threshold (which may change by the predetermined valuewith each repetition of steps 802-806). If visible information modules392 determine that there is at least one pixel in the image with colorinformation that is within a threshold of the background color's colorinformation, at step 808, visible information modules 392 may set theacquired pixels (acquired with repetition at step 804) to a first color(e.g., white or any other color). In certain embodiments, visibleinformation modules 392 may select a color, such as white, that wouldnot conflict with any common colors of a pen (e.g., blue, red, black,green, etc.)

Turning back to FIG. 7, at step 710, visible information modules 392 maydetermine the color of the pen. In some embodiments, visible informationmodules 392 may determine the color of the pen by counting the mostprevalent color that is not the first color. For example, assuming thatthe first color is white, visible information modules 392 may determinethe color of the pen by counting the most prevalent color that is thefirst color. In some embodiments, visible information modules 392 mayenhance the color of the pen by changing the color information of pixelsthat are within a predetermined threshold of the pen to a second color.In some embodiments, visible information modules 392 may enhance thecolor of the pen by using the steps discussed in FIG. 8 above, where thecolor of the pen would serve as the background color.

Consistent with disclosed embodiments, at step 712, visible informationmodules 392 may map and resize the image with the translated pixels(i.e., map data representing the translated image), using similartechniques as described above in relation to step 406. In someembodiments, at step 714, visible information modules 392 may convertthe image into vector format (i.e., convert data representing the mappedimage into a vector format) using similar techniques as described abovein relation to step 408. In certain embodiments, at step 716, visibleinformation modules 392 may cause terminal 202 and/or visibleinformation engine 204 to display the converted image to a customerusing terminal 202.

At step 718, visible information modules 392 may acquire customerapproval information, using similar techniques as described above inrelation to step 516. In some embodiments, at step 720, visibleinformation modules 392 may determine if the customer approves of theconverted image, using similar techniques as described above in relationto step 518. In certain embodiments, at step 722, visible informationmodules 392 may save the converted image, using techniques that aresimilar, as described above, to step 520.

FIG. 9 is a schematic diagram illustrating an exemplary transactionsystem, consistent with disclosed embodiments. Transaction system 900may include a computing system configured to receive and sendinformation between the components of transaction system 900 andcomponents outside of transaction system 900. Transaction system 900 mayinclude a financial service provider system 912 and a merchant system914 that may comprise POS terminal(s) 916, communicating with each otherthrough a network 918. Transaction system 900 may include additionaland/or alternative components.

Financial service provider system 912 may include one or more computersystems associated with an entity that provides financial services. Forexample, the entity may be a bank, credit union, credit card issuer, orother type of financial service entity that generates, provides,manages, and/or maintains financial service accounts for one or morecustomers. Financial service accounts may include, for example, creditcard accounts, checking accounts, savings accounts, loan accounts,reward accounts, and other types of financial service accounts.Financial service accounts may be associated with physical transactioncards 100, such as credit or debit cards that customers use to performfinancial service transactions, such as purchasing goods and/or servicesonline or at a terminal (e.g., POS terminal, mobile device, computer,etc.). Financial service accounts may also be associated with electronicfinancial products and services, such as a digital wallet or similaraccount that may be used to perform electronic transactions, such aspurchasing goods and/or services online.

Financial service provider system 912 may be implemented using differentequipment, such as one or more supercomputers, one or more personalcomputers, one or more servers (e.g., server clusters 212 and/or cloudservice 214), one or more mainframes, one or more mobile devices, or thelike. In some embodiments, financial service provider 912 may comprisehardware, software, and/or firmware modules. In some embodiments,financial service provider 912 may store on its one or more serverssystem 200 and/or visible information engine 204. Financial serviceprovider 912 may also be comprised of a plurality of programs stored onmemory and one or more processors, or the like.

Merchant system 914 may include one or more computer systems associatedwith a merchant. For example, merchant system 914 may be associated withan entity that provides goods and/or services (e.g., a retail store).The merchant may include brick-and-mortar location(s) that a customermay physically visit and purchase goods and services using thetransaction cards. Such physical locations may include computing devices(e.g., merchant system 914) that perform financial service transactionswith customers (e.g., POS terminals 916). Additionally or alternatively,merchant system 914 may be associated with a merchant who provides anelectronic shopping environment, such as a website or other onlineplatform that consumers may access using a computer through a browser, amobile application, or similar software. Merchant system 914 may includea client device, such as a laptop computer, desktop computer,smartphone, or tablet, which a customer may operate to access theelectronic shopping mechanism. Merchant system 914 may be implementedusing different equipment, such as one or ore supercomputers, one ormore personal computers, one or more servers (e.g., server clusters 212and/or cloud service 214), one or more mainframes, one or more mobiledevices, or the like. Merchant system 914 may also be comprised of aplurality of programs stored on memory and one or more processors, orthe like.

POS terminals 916 may be implemented using different equipment, such asone or more personal computers, one or more servers (e.g., serverclusters 212 and/or cloud service 214), one or more mainframes, one ormore mobile devices, or the like. POS terminals 916 may also becomprised of a plurality of programs stored on memory and one or moreprocessors, or the like.

Network 918 may include any type of network configured to facilitatecommunications and data exchange between components of transactionsystem 900, such as, for example, financial service provider system 912and merchant system 914. Network 918 may include, but is not limited to,Local Area Networks (LANs) and Wide Area Networks (WANs), such as theInternet. Network 918 may be a single network or a combination ofnetworks. Network 918 is not limited to the above examples andtransaction system 900 may implement any type of network that allowsentities (shown and not shown) of transaction system 900 to exchangedata and information.

Transaction system 900 may be configured to conduct a transaction usingtransaction card 100. In some embodiments, financial service providersystem 912 may provide transaction card 100 to a customer for use inconducting transactions associated with a financial service account heldby the customer. For example, the customer may use transaction card 100at a merchant location to make a purchase. During the purchase,information may be transferred from transaction card 100 to merchantsystem 914 (e.g., POS 916). Merchant system 914 may communicate withfinancial service provider system 912 via network 918 to verify theinformation and to complete or deny the transaction. For example,merchant system 914 may receive account information from transactioncard 100. Merchant system 914 may transmit the account information and apurchase amount, among other transaction information, to financialservice provider system 912. Financial service provider system 912 maysettle the transaction by transferring funds from the customer'sfinancial service account to a financial service account associated withthe merchant.

While transaction system 900 and transaction card 100 are depicted anddescribed in relation to transactions that involve customers, merchants,and financial service providers, it should be understood that theseentities are used only as an example to illustrate one environment inwhich transaction card 100 may be used. Transaction card 100 is notlimited to financial products and may be any physical card product thatis configured to store and/or transmit information. For example,transaction card 100 may be an identification card configured to provideinformation to a device in order to identify the holder of the card(e.g., a driver's license).

FIG. 10 is a flowchart of an exemplary process for electronicallyverifying visible information (e.g., a customer signature) entered intoa POS terminal with a scalable vector formatted file representingvisible information stored for a transaction card, consistent withdisclosed embodiments. In some embodiments, financial service providersystem 912 has one or more processors configured to store instructionsconsistent with the disclosed embodiments of visible information engine204 and/or system 200. In some embodiments, financial service providersystem 912 may utilize visible information engine 204 and/or system 200to process visible information.

At step 1002, consistent with disclosed embodiments, financial serviceprovider system 912 may process a transaction for a customer usingtransaction card 100. A customer may attempt to pay for an item atmerchant system 914 by inserting transaction card 100 into POS terminals916. For example, a client may insert data storage component 112 (i.e.,an EMV chip) into POS terminals 916. As another example, a client mayswipe data storage component 122 (e.g., magnetic stripe) through amagnetic stripe reader on POS terminal 916. In some embodiments, thestored contents of either data storage component 112 and/or data storagecomponents 122 will be read by the POS terminal 916. In someembodiments, the stored contents of either component 112 and/or datastorage components 122 will include a vector image file of visibleinformation (e.g., a customer signature) and other visible information,such as one or more of personal information, transaction information,contact information, or the like.

At step 1004, consistent with disclosed embodiments, POS terminal 916may request a customer to input visible information. In otherembodiments, POS terminal 916 may require a customer to input visibleinformation. In some embodiments, a customer may input visibleinformation by writing it. In some embodiments, visible informationengine 204 of financial service provider 912 may provide instructions tocause POS terminal 916 to request or require a customer to input visibleinformation. In other embodiments, a customer may input visibleinformation by typing it.

POS terminal 916 may provide a display containing a bounding box forvisible information to be digitally written on the screen of POSterminal 916. In some embodiments, visible information engine 204 offinancial service provider 912 may provide instructions to cause POSterminal 916 to provide a display containing a bounding box for visibleinformation to be digitally written on the screen of POS terminal 916.

Consistent with disclosed embodiments, at step 1006, POS terminal 916may receive input visible information (e.g., a customer's signature). Insome embodiments, POS terminal 916 may confirm that the customeracknowledges that the input visible information is accurate beforeaccepting the input visible information. In some embodiments, visibleinformation engine 204 of financial service provider 912 may provideinstructions to cause POS terminal 916 to confirm that the customeracknowledges that the input visible information is accurate beforeaccepting the input visible information. This confirmation can be done,for example, by requesting and receiving a notification from thecustomer acknowledging that the input visible information is accuratebefore accepting the input visible information.

At step 1008, consistent with disclosed embodiments, POS terminal 916may determine whether the customer's inputted visible information isvalid by sending data representing the input visible information and astored image of visible information read from data storage component 112and/or data storage components 122 to visible information engine 204 offinancial service provider system 912. In some embodiments, visibleinformation engine 204 of financial service provider 912 may cause POS916 to send this data. In some embodiments, financial service providersystem 912 will compare the data representing the input visibleinformation with the stored image of visible information read from datastorage component 112 and/or data storage components 122. In otherembodiments, financial service provider system 912 will compare the datarepresenting the input visible information with a vector formatted imageof visible information on its servers, saved consistently with step 410.In some other embodiments, financial service provider system 912 willcompare the stored vector formatted visible information read from datastorage component 112 and/or data storage components 122 with a savedvector formatted image of visible information on its servers consistentwith step 410. To compare, for example, financial service providersystem 912 may run a similarity analysis using various mathematicalprinciples of vector formatting comparisons along with the vectorformatting file contents to determine a similarity score regarding thecomparison. Financial service provider system 912 may then compare thesimilarity score with a predetermined threshold to determine if thevisible information is valid.

Consistent with disclosed embodiments, if the input visible information(e.g., a customer's signature) is determined to be not valid, in someembodiments financial service provider system 912 may cause POS terminal916 to report that the payment is being rejected (step 1010). Financialservice provider system 912 may instruct POS service to repeat steps1004 to 1008 in order to test if the determined visible information isvalid a plurality of times. Financial service provider system 912 mayhave a threshold value of how many times the test can be completedbefore the transaction is stopped. In some embodiments, financialservice provider system 912 may put a temporary hold on transaction card100, preventing the customer from completing any transactions withtransaction card 100 until the issue is resolved. Further, in someembodiments, financial service provider 912 may require additionalauthentication to accept the transaction, such as a secret code. In someembodiments, financial service provider system 912 may report that apotential fraud has occurred and suspend transaction card 100. In someembodiments, financial service provider system 912 may notifyauthorities that a fraud has occurred.

At step 1012, consistent with disclosed embodiments, if the inputvisible information is determined to be valid, in some embodiments,financial service provider system 912 may cause POS terminal 916 toreport that the payment is being accepted. Financial service providersystem 912 may then take funds from the transaction from the financialaccount associated with transaction card 100 and deliver them to thefinancial account of merchant system 914.

Descriptions of the disclosed embodiments are not exhaustive and are notlimited to the precise forms or embodiments disclosed. Modifications andadaptations of the embodiments will be apparent from consideration ofthe specification and practice of the disclosed embodiments. Forexample, the described implementations include hardware, firmware, andsoftware, but systems and techniques consistent with the presentdisclosure may be implemented as hardware alone. Additionally, thedisclosed embodiments are not limited to the examples discussed herein.

Computer programs based on the written description and methods of thisspecification are within the skill of a software developer. The variousprograms or program modules may be created using a variety ofprogramming techniques. For example, program sections or program modulesmay be designed in or by means of Java, C, C++, assembly language, orany such programming languages. One or more of such software sections ormodules may be integrated into a computer system, non-transitorycomputer-readable media, or existing communications software.

Moreover, while illustrative embodiments have been described herein, thescope includes any and all embodiments having equivalent elements,modifications, omissions, combinations (e.g., of aspects across variousembodiments), adaptations or alterations based on the presentdisclosure. The elements in the claims are to be interpreted broadlybased on the language employed in the claims and not limited to examplesdescribed in the present specification or during the prosecution of theapplication, which examples are to be construed as non-exclusive.Further, the steps of the disclosed methods may be modified in anymanner, including by reordering steps or inserting or deleting steps. Itis intended, therefore, that the specification and examples beconsidered as exemplary only, with the true scope and spirit beingindicated by the following claims and their full scope of equivalents.

1-20. (canceled)
 21. A computer-implemented method for sourcing visibleinformation using a scalable vector format, comprising: capturing datarepresenting a captured image of visible information, the captured imagecomprising a plurality of captured image pixels represented in the databy color information values; determining a first most common colorinformation value among the captured image pixels; identifying, in thecaptured image pixels, a first set of pixels having color informationvalues within a threshold of the first most common color informationvalue; translating the captured image data to data representing a firsttranslated image by setting the color information values for the firstset of pixels to a first color information value; determining a secondmost common color information value among the captured image pixels;identifying, in the captured image pixels, a second set of pixels havingcolor information values within a threshold of the second most commoncolor information value; translating the first translated image data todata representing a second translated image by setting the colorinformation values for the second set of pixels to a second colorinformation value; and storing, in a customer authentication database,the data representing the second translated image based on adetermination that the customer associated with the captured imageapproves.
 22. The computer-implemented method of claim 21, wherein thecolor information values comprise one of red-green-blue (RGB) values,cyan-magenta-yellow-black (CMYK) values, hue-saturation-lightness (HSL)values, huge-saturation-value (HSV) values, HEX values, or pantonematching system (PMS) values.
 23. The computer-implemented method ofclaim 21, wherein the first color information value is a valuecorresponding to the color white.
 24. The computer-implemented method ofclaim 21, further comprising: storing the first set of pixels;determining a second threshold of the first most common colorinformation value by incrementing the first threshold with apredetermined value; identifying at least one pixel in the firstcaptured image pixels within the second threshold of the first mostcommon color information value; storing the at least one pixel with thefirst set of pixels; and setting the color information values for eachstored pixel to the first color information value.
 25. Thecomputer-implemented method of claim 24, wherein the first capturedimage of visible information comprises a signature.
 26. Thecomputer-implemented method of claim 21, wherein the determination thatthe customer associated with the first captured image approvescomprises: transmitting, to a computing device, a request for approvalof the second translated image; and determining that an approval of thesecond translated image has been received.
 27. The computer-implementedmethod of claim 26, further comprising, in response to a failure toreceive an approval of the second translated image: capturing datarepresenting a second captured image of visible information, the secondcaptured image comprising a plurality of second captured image pixelsrepresented in the data by color information values; determining a firstmost common color information value among the second captured imagepixels; identifying, in the second captured image pixels, a third set ofpixels having color information values within a threshold of the firstmost common color information value among the second captured imagepixels; translating the second captured image data to data representinga third translated image by setting the color information values for thethird set of pixels to a third color information value; determining asecond most common color information value among the second capturedimage pixels; identifying, in the second captured image pixels, a fourthset of pixels having color information values within a threshold of thesecond most common color information value among the second capturedimage pixels; and translating the third translated image data to datarepresenting a fourth translated image by setting the color informationvalues for the fourth set of pixels to a fourth color information value.28. A computer-implemented method for sourcing visible information usinga scalable vector format, comprising: capturing data representing acaptured image of visible information, the captured image comprising aplurality of captured image pixels represented in the data by colorinformation values; identifying, in the captured image pixels, a firstset of pixels being represented by a first group of color informationvalues; identifying, in the captured image pixels, a second set ofpixels being represented by a second group of color information values;determining a most common color information value among the capturedimage pixels; determining that the first group of color informationvalues are within a first threshold of the most common color informationvalue; determining that the second group of color information values arewithin a second threshold of the most common color information value;translating the captured image data to data representing a firsttranslated image by setting the color information values for the firstset of pixels to a first color information value; translating the firsttranslated image data to data representing a second translated image bysetting the color information values for the second set of pixels to asecond color information value; and storing, in a customerauthentication database, the data representing the second translatedimage based on a determination that the customer associated with thecaptured image approves.
 29. The computer-implemented method of claim28, wherein the color information values comprise one of red-green-blue(RGB) values, cyan-magenta-yellow-black (CMYK) values,hue-saturation-lightness (HSL) values, huge-saturation-value (HSV)values, HEX values, or pantone matching system (PMS) values.
 30. Thecomputer-implemented method of claim 28, wherein the first colorinformation value is a value corresponding to the color white.
 31. Thecomputer-implemented method of claim 28, wherein the determination thatthe customer associated with the captured image approves comprises:transmitting, to a computing device, a request for approval of thesecond translated image; and determining that an approval of the secondtranslated image has been received.
 32. The computer-implemented methodof claim 31, further comprising, in response to a failure to receive anapproval of the second translated image: capturing data representing asecond captured image of visible information, the second captured imagecomprising a second plurality of captured image pixels represented inthe data by color information values; identifying, in the secondcaptured image pixels, a third set of pixels being represented by athird group of color information values; identifying, in the secondcaptured image pixels, a fourth set of pixels being represented by afourth group of color information values; determining a most commoncolor information value among the second captured image pixels;determining that the third group of color information values are withina first threshold of the most common color information value among thesecond captured image pixels; determining that the second group of colorinformation values are within a second threshold of the most commoncolor information value among the second captured image pixels;translating the second captured image data to data representing a thirdtranslated image by setting the color information values for the thirdset of pixels to a third color information value; translating the thirdtranslated image data to data representing a fourth translated image bysetting the color information values for the fourth set of pixels to afourth color information value; and storing, in a customerauthentication database, the data representing the fourth translatedimage based on the determination that the customer associated with thesecond captured image approves.
 33. A computer-implemented method forsourcing visible information using a scalable vector format, comprising:receiving a request to add visible information to a transaction card;capturing data representing a captured image of visible information, thecaptured image comprising a plurality of captured image pixelsrepresented in the data by color information values; determining a firstmost common color information value among the captured image pixels;identifying, in the captured image pixels, a first set of pixels havingcolor information values within a threshold of the first most commoncolor information value; translating the captured image data to datarepresenting a first translated image by setting the color informationvalues for the first set of pixels to a first color information value;determining a second most common color information value among thecaptured image pixels; identifying, in the captured image pixels, asecond set of pixels having color information values within a thresholdof the second most common color information value; translating the firsttranslated image data to data representing a second translated image bysetting the color information values for the second set of pixels to asecond color information value; mapping the second translated image datato a bounding box; converting the mapped image data into a vectorformat; and providing the converted data to a laser machining system.34. The computer-implemented method of claim 33, wherein the colorinformation values comprise one of red-green-blue (RGB) values,cyan-magenta-yellow-black (CMYK) values, hue-saturation-lightness (HSL)values, huge-saturation-value (HSV) values, HEX values, or pantonematching system (PMS) values.
 35. The computer-implemented method ofclaim 33, wherein the first color information value is a valuecorresponding to the color white.
 36. The computer-implemented method ofclaim 33, further comprising: storing the first set of pixels;determining a second threshold of the first most common colorinformation value by incrementing the first threshold with apredetermined value; identifying at least one pixel in the firstcaptured image pixels within the second threshold of the first mostcommon color information value; storing the at least one pixel with thefirst set of pixels; and setting the color information values for eachstored pixel to the first color information value.
 37. Thecomputer-implemented method of claim 33, wherein the captured image ofvisible information comprises a signature.
 38. The computer-implementedmethod of claim 33, further comprising: transmitting, to a computingdevice, a request for approval of the first translated image;determining if an approval of the first translated image has beenreceived; and if an approval has been received, storing the firsttranslated image data in a customer authentication database.
 39. Thecomputer-implemented method of claim 38, further comprising, in responseto a failure to receive approval of the first translated image:receiving data capturing data representing a second captured image ofvisible information, the second captured image comprising a plurality ofsec captured image pixels represented in the data by color informationvalues; determining a first most common color information value amongthe second captured image pixels; identifying, in the second capturedimage pixels, a third set of pixels having color information valueswithin a threshold of the first most common color information valueamong the second captured image pixels; translating the captured imagedata to data representing a third translated image by setting the colorinformation values for the third set of pixels to a third colorinformation value; determining a second most common color informationvalue among the second captured image pixels; identifying, in the secondcaptured image pixels, a fourth set of pixels having color informationvalues within a threshold of the second most common color informationvalue among the second captured image pixels; and translating the thirdtranslated image data to data representing a fourth translated image bysetting the color information values for the fourth set of pixels to afourth color information value.
 40. The computer-implemented method ofclaim 33, wherein the laser machining system is configured to etch thefirst translated image onto the transaction card.